Global high-resolution forest disturbance type dataset

Wang, Li; Liu, Shidong; Song, Wanjuan; Ding, Shengping; Zhang, Jie

doi:10.5194/essd-18-1601-2026

Articles | Volume 18, issue 2

https://doi.org/10.5194/essd-18-1601-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-18-1601-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 18, issue 2

Data description article

|

02 Mar 2026

Data description article |

| 02 Mar 2026

Global high-resolution forest disturbance type dataset

Li Wang, Shidong Liu, Wanjuan Song, Shengping Ding, and Jie Zhang

Data sets

Global forest main disturbance types between 2000 and 2020 Shidong Liu et al. https://doi.org/10.6084/m9.figshare.28465178

Short summary

The study introduces the high-resolution global forest disturbance dataset for 2000–2020. Key drivers of forest cover changes are forestry activities (44 %), shifting cultivation (24 %), and forest fires (11 %). Both human activities and natural events widely impact forest ecosystems, with regional differences across tropical, temperate, and boreal zones. Forest fires concentrated in Siberia and North America; and shifting cultivation dominant in tropical areas.